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python_cpp_function.cpp
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python_cpp_function.cpp
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#include <torch/csrc/autograd/python_cpp_function.h>
#include <torch/csrc/python_headers.h>
#include <memory>
#include <cstdio>
#include <typeindex>
#include <unordered_map>
#include <torch/csrc/autograd/python_function.h>
#include <torch/csrc/autograd/python_variable.h>
#include <torch/csrc/autograd/python_hook.h>
#include <torch/csrc/autograd/python_anomaly_mode.h>
#include <torch/csrc/utils/auto_gil.h>
#include <torch/csrc/utils/python_strings.h>
#include <torch/csrc/DynamicTypes.h>
#include <torch/csrc/Exceptions.h>
using namespace torch::autograd;
namespace torch { namespace autograd {
namespace {
PyObject* THPCppFunction_call(PyObject* self, PyObject* args, PyObject *kwargs)
{
if (kwargs && PyDict_Size(kwargs) != 0) {
return PyErr_Format(PyExc_TypeError, "keyword arguments are not supported");
}
int num_inputs = PyTuple_GET_SIZE(args);
int num_inputs_required = ((THPCppFunction*)self)->cdata->num_inputs();
if (num_inputs != num_inputs_required) {
return PyErr_Format(PyExc_TypeError, "expected %d arguments, got %d instead",
num_inputs_required, num_inputs);
}
variable_list vars(num_inputs);
for (int i = 0; i != num_inputs; ++i) {
PyObject* arg = PyTuple_GET_ITEM(args, i);
if (arg == Py_None) {
continue;
}
if (!THPVariable_Check(arg)) {
return PyErr_Format(PyExc_TypeError, "argument %d is not a Variable", i);
}
vars[i] = ((THPVariable*)arg)->cdata;
}
variable_list output;
HANDLE_TH_ERRORS {
AutoNoGIL nogil;
output = (*((THPCppFunction*)self)->cdata)(std::move(vars));
}
END_HANDLE_TH_ERRORS
int num_outputs = output.size();
if (num_outputs == 1) {
// assume we want to unpack one element tuples for now
return THPVariable_Wrap(output[0]);
}
THPObjectPtr tuple(PyTuple_New(num_outputs));
for (int i = 0; i != num_outputs; ++i) {
PyTuple_SET_ITEM(tuple.get(), i, THPVariable_Wrap(output[i]));
}
return tuple.release();
}
int THPCppFunction_traverse(PyObject* self, visitproc visit, void *arg)
{
auto& fn = *((THPCppFunction*)self)->cdata;
for (const auto& hook : fn.pre_hooks()) {
if (auto pyhook = dynamic_cast<PyFunctionPreHook*>(hook.get())) {
Py_VISIT(pyhook->dict);
}
}
for (const auto& hook : fn.post_hooks()) {
if (auto pyhook = dynamic_cast<PyFunctionPostHook*>(hook.get())) {
Py_VISIT(pyhook->dict);
}
}
return 0;
}
int THPCppFunction_clear(PyObject* self)
{
auto f = (THPCppFunction*)self;
// Remove the weak ref of the c++ object if it exist
if (f->cdata) {
f->cdata->set_pyobj(nullptr);
}
f->cdata.reset();
return 0;
}
void THPCppFunction_dealloc(PyObject* self)
{
THPCppFunction_clear(self);
((THPCppFunction*)self)->cdata.~shared_ptr();
Py_TYPE(self)->tp_free(self);
}
} // namespace
PyObject* THPCppFunction_next_functions(THPCppFunction* self, PyObject* hook)
{
const auto num_next = self->cdata->num_outputs();
THPObjectPtr py_functions(PyTuple_New(num_next));
if (!py_functions) return nullptr;
for (size_t i = 0; i < num_next; ++i) {
auto& c_tuple = self->cdata->next_edge(i);
THPObjectPtr tuple(PyTuple_New(2));
if (!tuple) return nullptr;
PyObject *py_fn = functionToPyObject(c_tuple.function);
if (!py_fn) return nullptr;
PyTuple_SET_ITEM(tuple.get(), 0, py_fn);
PyObject *py_idx = PyLong_FromLong(c_tuple.input_nr);
if (!py_idx) return nullptr;
PyTuple_SET_ITEM(tuple.get(), 1, py_idx);
PyTuple_SET_ITEM(py_functions.get(), i, tuple.release());
}
return py_functions.release();
}
PyObject* THPCppFunction_metadata(THPCppFunction *self, void *_unused)
{
auto metadata = static_cast<PyAnomalyMetadata*>(self->cdata->metadata())->dict();
Py_INCREF(metadata);
return metadata;
}
PyObject* THPCppFunction_requires_grad(THPCppFunction* self, void *unused) {
Py_RETURN_TRUE;
}
PyObject* THPCppFunction_register_hook_dict(PyObject* self, PyObject* _var)
{
if (!THPVariable_Check(_var)) {
return PyErr_Format(PyExc_TypeError, "_register_hook_dict expected a variable");
}
auto var = (THPVariable*)_var;
auto& fn = *((THPCppFunction*)self)->cdata;
std::unique_ptr<FunctionPreHook> hook(
new PyFunctionPreHook(var->backward_hooks, var->cdata.output_nr()));
fn.add_pre_hook(std::move(hook));
Py_RETURN_NONE;
}
PyObject* THPCppFunction_register_hook(PyObject* self, PyObject* hook)
{
auto& fn = *((THPCppFunction*)self)->cdata;
return registerFunctionHook(fn, hook);
}
PyObject* THPCppFunction_name(PyObject* self, PyObject *noargs) {
auto& fn = *((THPCppFunction*)self)->cdata;
return THPUtils_packString(fn.name());
}
static struct PyMethodDef default_methods[] = {
THP_FUNCTION_DEFAULT_METHODS,
{nullptr}
};
static struct PyGetSetDef default_properties[] = {
THP_FUNCTION_DEFAULT_PROPERTIES,
{nullptr}
};
PyTypeObject* _initFunctionPyTypeObject(PyTypeObject& type, const char* name,
PyGetSetDef* function_properties, PyMethodDef* function_methods)
{
type.tp_flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC;
type.tp_name = name;
type.tp_basicsize = sizeof(THPCppFunction);
type.tp_call = THPCppFunction_call;
type.tp_methods = function_methods ? function_methods : default_methods;
type.tp_getset = function_properties ? function_properties : default_properties;
type.tp_dealloc = THPCppFunction_dealloc;
type.tp_traverse = THPCppFunction_traverse;
type.tp_clear = THPCppFunction_clear;
if (PyType_Ready(&type) < 0) {
auto msg = std::string("Unable to instantiate PyTypeObject for ") + name;
throw std::runtime_error(msg);
}
return &type;
}
static std::unordered_map<std::type_index, THPObjectPtr> cpp_function_types;
struct DefaultFunctionType {
DefaultFunctionType() : type() {
_initFunctionPyTypeObject(type, "CppFunction", nullptr, nullptr);
Py_INCREF(&type);
}
PyTypeObject type;
};
PyObject* functionToPyObject(const std::shared_ptr<Node>& cdata)
{
static DefaultFunctionType default_type;
if (!cdata) {
Py_RETURN_NONE;
}
if (auto pfw = dynamic_cast<PyNode*>(cdata.get())) {
PyObject* obj = pfw->obj;
Py_INCREF(obj);
return obj;
}
if (cdata->pyobj()) {
Py_INCREF(cdata->pyobj());
} else {
auto& fn = *cdata;
auto it = cpp_function_types.find(std::type_index(typeid(fn)));
PyTypeObject* type;
if (it == cpp_function_types.end()) {
type = &default_type.type;
} else {
type = (PyTypeObject*)it->second.get();
}
THPObjectPtr obj(type->tp_alloc(type, 0));
if (!obj) return nullptr;
THPCppFunction* f = (THPCppFunction*)obj.get();
new (&f->cdata) std::shared_ptr<Node>(cdata);
// No INCREF here as we only have a weak reference
cdata->set_pyobj(obj.release());
}
return cdata->pyobj();
}
void registerCppFunction(const std::type_info& type, PyTypeObject* pytype)
{
Py_INCREF((PyObject*)pytype);
cpp_function_types[std::type_index(type)] = THPObjectPtr((PyObject*)pytype);
}
PyObject* registerFunctionHook(Node& fn, PyObject* hook)
{
PyObject* dict = Py_None;
for (const auto& hook : fn.post_hooks()) {
if (auto pyhook = dynamic_cast<PyFunctionPostHook*>(hook.get())) {
dict = pyhook->dict;
break;
}
}
THPObjectPtr register_fn(PyObject_GetAttrString(THPFunctionClass, "_register_hook"));
if (!register_fn) return nullptr;
THPObjectPtr res(PyObject_CallFunctionObjArgs(register_fn.get(), dict, hook, nullptr));
if (!res) return nullptr;
if (dict == Py_None) {
dict = PyTuple_GET_ITEM(res.get(), 0);
std::unique_ptr<FunctionPostHook> hook(new PyFunctionPostHook(dict));
fn.add_post_hook(std::move(hook));
}
PyObject* handle = PyTuple_GET_ITEM(res.get(), 1);
Py_INCREF(handle);
return handle;
}
}} // namespace torch::autograd